Ujjwal R. Baid, PhD

Bio

Ujjwal Baid (PhD) is currently an Assistant Professor in the Department of Pathology and Laboratory Medicine, of the Indiana University School of Medicine, at Indianapolis, IN, USA. His research work so far has focused on developing advanced artificial intelligence-based algorithms to address complex problems in clinical applications, such as the automatic delineation of brain pathologies’ boundaries, and the prediction of patient overall survival, by extracting and analyzing computationally-extracted imaging/radiomic features, thereby potentially contributing to treatment planning decision. In past few years he has also worked on federated learning (FL) for radiologic and histologic imaging. For radiologic imaging, he co-led the largest real-world FL study and the largest computational imaging brain tumor segmentation study to-date, involving data of 6,314 brain tumor patients from 71 collaborating sites from all over the globe. For histologic imaging, he has been leading a multi-site FL effort to accurately detect tumor infiltrating lymphocytes across 12 anatomical areas. He has also spearheaded the organization of various workshops and challenges, including the first-ever FL challenge and FL tutorial in healthcare, the brain tumor segmentation challenges spanning across various tumor types (adult, pediatric, metastases) at the premier biomedical image analysis conference, namely Medical Image Computing and Computer Assisted Intervention (MICCAI).